Our data science and AI modules can be tailored to your organisational needs.
Popular Modules Include:
- Data cleaning & wrangling with Python & Pandas
- Statistics for Data Science
- Machine Learning Theory and Practice
- Natural Language Processing
- Deep Learning in Python with TensorFlow and PyTorch
- Building Recommendation Systems
- Big Data Processing and Analysis with Apache Spark
All courses culminate in a Capstone project which gives participants an opportunity to put into practice what has been learned, and to verify their new skills in real-world scenarios.
What will I learn
- Understand the theory behind popular data science approaches and the data science lifecycle.
- Learn to use Python and notebook environments for efficient manipulation of data with industry standard tools.
- Gain a practical understanding of statistical analysis through hands-on programming examples and exercises.
- Understand the workings of the most commonly used machine learning models, and how they are harnessed in real-world applications.
- Learn to use Neural Networks and Deep Learning techniques to gain maximum value from large datasets
- Graded Assignments with Peer Feedback
- Assignments and projects that provide practical skills with applicability to real-world tasks that employers value